Energy Efficient Cooperative Communication In Wireless Sensor Networks Subject To Frequency Selective Fading
Download Energy Efficient Cooperative Communication In Wireless Sensor Networks Subject To Frequency Selective Fading PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Energy Efficient Cooperative Communication In Wireless Sensor Networks Subject To Frequency Selective Fading book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Energy Efficient Cooperative Communication in Wireless Sensor Networks Subject to Frequency-selective Fading
Energy efficient cooperative diversity techniques are investigated in this thesis with the aim of improving the energy efficiency of wireless sensor networks (WSNs) in the presence of additive white Gaussian noise (AWGN) and frequency-selective Rayleigh fading without degrading the reliability of data transmission. The studies reported mainly focus the theoretical aspects of aiming establishing the feasibility of employing cooperative diversity techniques in WSNs (subject to AWGN and frequency-selective Rayleigh fading) to effectively improve the network’s energy efficiency in the physical layer. With improvements to energy efficiency, the operational lifetime of WSN applications operating in indoor environments can be prolonged.A mathematical model of a single input single output (SISO) wireless communication system with direct sequence spread spectrum (DSSS) transceivers in the presence of AWGN and frequency-selective Rayleigh fading is proposed, modelled, theoretically analysed and simulated. In order to save the transmit energy consumption of sensor nodes, DSSS transceivers with chip-interleaving signal processing are considered as well. Analytical expressions of bit error rate (BER) in closed form are derived and analysed for wireless systems using DSSS transceivers, with or without chip-interleaving signal processing. Using the derived BER algorithms, the BER performances of virtual-multiple-input-single-output (vMISO), decode-and-forward (DF) and adaptive decode-and-forward (aDF) cooperation in WSNs subject to AWGN and frequency-selective Rayleigh fading are investigated as well.Performance evaluations are carried out based on the BER expressions and energy consumption models of vMISO, DF and aDF cooperation in terms of their optimal transmit power allocation and partner selection region. Because the energy expenditure of a sensor node can also be reduced by using the chip-interleaving signal processing, cooperative diversity (vMISO and DF) and chip-interleaved techniques are employed in combination to further improve the energy efficiency of WSNs operating over AWGN channels with frequency-selective Rayleigh fading. Furthermore,several simple partner selection heuristics are developed for energy efficient vMISO and DFcooperative schemes, which will enable resource-constrained sensor nodes to make cooperation decisions independently and autonomously. In summary, the analytical and simulation results demonstrate that the energy efficiency of WSNs subject to AWGN and frequency-selective Rayleigh fading can be significantly improved by implementing the cooperative diversity techniques and the chip interleaving technique, individually or in combination.
7th International Conference on Computing, Control and Industrial Engineering (CCIE 2023)
This book collects selected aspects of recent advances and experiences, emerging technology trends that have positively impacted our world from operators, authorities, and associations from CCIE 2022, to help address the world’s advanced computing, control technology, information technology, artificial intelligence, machine learning, deep learning, and neural networks. Meanwhile, the topics included in the proceedings have high research value and present current insights, developments, and trends in computing, control, and industrial engineering.
Modelling, Computation and Optimization in Information Systems and Management Sciences
The proceedings consist of 34 papers which have been submitted to the 4th international conference on Modelling, Computation & Optimization in Information Systems and Management Science (MCO 2021) held on 11-13 December, 2021 at Hanoi, Vietnam. The book is composed of 3 parts: Optimization of complex systems - models and methods, Machine Learning - algorithms and applications, and Cryptography. All chapters in the books discuss theoretical and algorithmic as well as practical issues connected with modelling, computation & optimization in Information Systems and Management Science. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools & techniques for their own work.